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Cognitive Computation
Erschienen in: Cognitive Computation 5/2021

29.07.2021

The Big-2/ROSe Model of Online Personality

Towards a Lightweight Set of Markers for Characterizing the Behavior of Social Platform Denizens

verfasst von: Gerardo I. Simari, Maria Vanina Martinez, Fabio R. Gallo, Marcelo A. Falappa

Erschienen in: Cognitive Computation | Ausgabe 5/2021

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Abstract

The Big-5/OCEAN personality traits model, one of the central approaches to psychometrics, has been shown to have many applications over a variety of disciplines. In particular, correlations have been studied leading to effective characterization of people’s behavior, and the model has become notorious for its role in the Cambridge Analytica/Facebook scandal surrounding the 2016 US presidential elections. In this paper, we develop Big-2 (or ROSe, for Relationship to Others and to Self), a model via which the personality of users of online platforms can be studied using a lightweight set of markers focused on online behavior, avoiding the major data privacy pitfalls afflicting approaches based on more powerful models that characterize personal aspects of the human psyche. Evaluation of Big-2’s effectiveness is done in two parts: a quantitative evaluation on a specific prediction task and a qualitative one based on an analysis of the different ways in which the Big-2 traits can be derived from online behavior, proposing a general template to guide such efforts. Quantitative results show that our lightweight model can match or surpass the performance of Big-5 in a prediction task, while qualitative results show that it is feasible to implement the model based on the observation of basic online user behavior. Our main result is a general-purpose model that can be used to characterize the personality traits of users of online platforms in an ethical manner. Our proposed model provides a valuable tool to carry out effective and explainable analyses of online personality, avoiding the collection of unnecessary user data that would open the possibility for ethical violations.
Vorheriger Artikel Unsupervised Sentiment Analysis by Transferring Multi-source Knowledge
Nächster Artikel Deep Neural Approaches to Relation Triplets Extraction: a Comprehensive Survey

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Fußnoten
2
 
3
The code used for these experiments is available at: https://​github.​com/​fabiorgallo/​Big2-OCEAN-Experiment
 
4
We thank V.S.Subrahmanian for sharing the dataset.
 
6
We thank Constanza Caorsi from IBM Argentina for facilitating an academic license for this service.
 
8
This reduced example is for illustrative purposes only—the tool yields only a weak analysis over these 156 words.
 
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Metadaten
Titel
The Big-2/ROSe Model of Online Personality
Towards a Lightweight Set of Markers for Characterizing the Behavior of Social Platform Denizens
verfasst von
Gerardo I. Simari
Maria Vanina Martinez
Fabio R. Gallo
Marcelo A. Falappa
Publikationsdatum
29.07.2021
Verlag
Springer US
Erschienen in
Cognitive Computation / Ausgabe 5/2021
Print ISSN: 1866-9956
Elektronische ISSN: 1866-9964
DOI
https://doi.org/10.1007/s12559-021-09866-1

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